Impact of Distributed Generation on Electric Power Distribution Systems Aiming at Minimizing Active Losses and Unsupplied Energy
Distributed Generation; Optimization; EENS; Active Losses; Distribution Systems
This work presents a methodology capable of discriminating the most suitable places for the insertion of distributed generation units (DG) in electric energy distribution networks, aiming at minimizing the costs inherent to the expected unsupplied energy (EENS) and energy with losses active in the circuits for a period of one year. The optimization method used to obtain the optimal solutions is the Bat Algorithm metaheuristic. It is noteworthy that the modeling of the components of the distribution systems is carried out through the creation of trees, thus, it is possible to efficiently determine the active losses in the circuits and the EENS performance index. The results obtained using the Papagaios distribution system showed a substantial reduction in the costs inherent to the provision of energy after the insertion of distributed generation units (DG), thus validating the proposed tool.